Machine learning for sustainable development /
The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art...
Clasificación: | Libro Electrónico |
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Otros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin ; Boston :
Walter de Gruyter GmbH,
[2021]
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Colección: | De Gruyter frontiers in computational intelligence ;
v. 9. |
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Chapter 1. A framework for applying artificial intelligence (AI) with Internet of nanothings (IoNT)
- Chapter 2 Opportunities and challenges in transforming higher education through machine learning
- Chapter 3 Efficient renewable energy integration: a pertinent problem and advanced time series data analytics solution
- Chapter 4 A comprehensive review on the application of machine learning techniques for analyzing the smart meter data
- Chapter 5 Application of machine learning algorithms for facial expression analysis
- Chapter 6 Prediction of quality analysis for crop based on machine learning model
- Chapter 7 Data model recommendations for real-time machine learning applications: a suggestive approach
- Chapter 8 Machine learning for sustainable agriculture
- Chapter 9 Application of machine learning in SLAM algorithms
- Chapter 10 Machine learning for weather forecasting
- Chapter 11 Applications of conventional machine learning and deep learning for automation of diagnosis: case study
- Index